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Paper Citation Record · LEDGER

An Overview of Low-Rank Structures in the Training and Adaptation of Large Models

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2503.19859.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2503.19859 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-27T21:04:42.952768Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-07-04T03:19:31.532844Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 12a86e15-246f-4e62-912f-d180e5a8382c · inbound

Spectral Condition for $\mu$P under Width-Depth Scaling cites this paper.

Spectral Condition for $\mu$P under Width-Depth Scaling An Overview of Low-Rank Structures in the Training and Adaptation of Large Models

Reference 2

Resolution
metadata mismatch
arxiv_id, observed 2026-07-09T02:19:36.219122Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-15T18:03:31.202134Z digest=sha256:fe7282cafb1e19bb0c68ca0c2a1e7b4d602a8f8f08d1a1c42eb1522f7de118cd

Observation e081f86e-10ad-43e0-aa7c-e06f3912a929 · inbound

Pointwise Generalization in Deep Neural Networks cites this paper.

Pointwise Generalization in Deep Neural Networks An Overview of Low-Rank Structures in the Training and Adaptation of Large Models

Reference 164

Resolution
verified exact
arxiv_id, observed 2026-07-09T02:19:36.219122Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-20T12:34:28.962887Z digest=sha256:eec82708d6e7c54c6e9ff93b0017d1a6db0cb58a2a5a16c6b52fd8bf9b487995

Observation b658f4f1-ab59-4a49-970a-647ecda08348 · inbound

The Effect of Training Task Diversity on In-Context Learning through the Lens of Low-Dimensional Subspaces cites this paper.

The Effect of Training Task Diversity on In-Context Learning through the Lens of Low-Dimensional Subspaces An Overview of Low-Rank Structures in the Training and Adaptation of Large Models

Reference 56

Resolution
verified exact
arxiv_id, observed 2026-07-09T02:19:36.219122Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-06-27T21:04:42.952768Z digest=sha256:063574082edb03b3f558cba53f476fba6c305d0ebde0d3510a776e814db2b537

Observation dadf08f0-c167-48b5-b97e-6ab3afd9052b · inbound

Activation- and Influence-Aware Ranks (AIR): Function-Preserving SVD Compression for LLMs cites this paper.

Activation- and Influence-Aware Ranks (AIR): Function-Preserving SVD Compression for LLMs An Overview of Low-Rank Structures in the Training and Adaptation of Large Models

Reference 168

Resolution
verified exact
arxiv_id, observed 2026-07-09T02:19:36.219122Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-06-26T18:09:17.414031Z digest=sha256:50ee9d79ca8beeea57cb1afd716ac382dd5f7a4fbb72eac71a329bdf4a902c4b